Background: The novel coronavirus (CoV) has resulted in a global pandemic despite drastic measures to avoid contagious spread. On April 3, 2020, there were around 1 million reported cases and 51,515 deaths due to CoV disease 2019. The disease presents with flu-like symptoms such as fever, dry cough, and fatigue. India being a resource-limited country, it is very important to differentiate the suspected cases clinically.
Aim: The aim was to know the correlation of various clinical features of severe acute respiratory syndrome CoV 2 (SARS-CoV-2)-infected cases in selected districts of UP.
Setting and design: This was a retrospective cross-sectional hospital-based study.
Materials and methods: This was a retrospective cross-sectional study performed on 1243 suspected cases of SARS-CoV-2 infection from March 25, 2020 to April 17, 2020 in the department of microbiology of our institute to know the incidence of SARS-CoV-2 infection in selected districts of Uttar Pradesh. These cases were analyzed to see the association of various clinical symptoms with SARS-CoV-2 infection. For statistical analysis, Pearson's Chi-square test was performed using SPSS version 23.
Results: Out of total suspected cases, 4.5% were positive. Travel history was present in 80.4% of positive cases. About 83.9% had fever, 28.6% had shortness of breath, 35.7% had dry cough, 17.9% had either Type I or II diabetes mellitus, 12.5% had chronic kidney disease, and 7.1% had obstructive pulmonary diseases.
Conclusion: Negative clinical history is very important in ruling out the suspected cases who came out to be free from the infection.
Keywords: Coronavirus disease 2019; real-time polymerase chain reaction; severe acute respiratory syndrome coronavirus 2.
Copyright: © 2020 Journal of Education and Health Promotion.